Implementaciones en Hardware de técnicas de Radiogoniometría

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Tibisay Sánchez Universidad Pontificia Bolivariana, Medellín,
Alfredo David Redondo Universidad Pontificia Bolivariana, Medellín
Andrés Felipe García Universidad Pontificia Bolivariana, Medellín
Cristina Gómez Universidad Pontificia Bolivariana, Medellín
Leonardo Betancur Universidad Pontificia Bolivariana, Medellín,
Roberto Carlos Hincapié Universidad Pontificia Bolivariana, Medellín,
Resumen

En este artículo se presenta una revisión bibliográfica y un análisis comparativo de implementaciones en hardware de técnicas de Radiogoniometría, también conocidas como Radio Direction Finding (RDF), que permiten identificar la mejor opción para implementar estas funcionalidad en actividades de gestión del espectro en países en vía de desarrollo. Dentro de las implementaciones tratadas se incluyen técnicas clásicas como Pseudo-Doppler y técnicas avanzadas de alta resolución como MUSIC. Se presentan diferentes alternativas de hardware para realizar las implementaciones las cuales incluyen SDR (Software Defined Radio), FPGA (Field Programmable Gate Array) y DSP (Digital Signal Processor); a la vez que se incluyen algunas configuraciones híbridas dónde se mezcla el software y el hardware con el fin de optimizar recursos de tiempo y dinero. Adicionalmente se muestran algunas aplicaciones comerciales que emplean técnicas de geolocalización basadas en información de ángulos de llegada, tiempos de llegada u otros parámetros que permiten realizar el proceso de triangulación o trilateración según sea el caso.

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Biografía del autor/a / Ver

Tibisay Sánchez, Universidad Pontificia Bolivariana, Medellín,

MsC(c)

Alfredo David Redondo, Universidad Pontificia Bolivariana, Medellín

MsC(c)

Andrés Felipe García, Universidad Pontificia Bolivariana, Medellín

MsC(c),Ph.D(c)

Cristina Gómez, Universidad Pontificia Bolivariana, Medellín

Ph.D

Leonardo Betancur, Universidad Pontificia Bolivariana, Medellín,

Ph.D

Roberto Carlos Hincapié, Universidad Pontificia Bolivariana, Medellín,

Ph.D
Referencias

Abusultan, M., Harkness, S., LaMeres, B. & Huang, Y.,2010. {FPGA} implementation of a {B}artlett direction of arrival algorithm for a 5.8ghz circular antenna array. s.l., s.n., pp. 1-10.

Arai, H. & Ichige, K., 2005. Hardware Implementation of Smart Antenna Systems for High Speed Wireless Communication. International Union of Radio Science, Proc. Of Gernal Assemblies.

Bahamondes, R., 2009. Digital Signal Processing. Tecnología Digital y Microprocesadores {@ONLINE}. s.l.:s.n.

Balogh, L. & Kollar, I., 2003. Angle of arrival estimation based on interferometer principle. s.l., s.n., pp. 219-223.

EMT, F., 2004. RIMAX-A Flexible Algorithm for Channel Parameter Estimation from Channel Sounding Measurements.

Ettus, R., 2015. Ettus USRP N210. s.l.:s.n.

Fan, W., tao, G. H., Lin, Z. & xiang, S. Y., 2011. Hardware Implementation of {MUSIC} Algorithm for Airborne Digital Direction Finding System. s.l., s.n., pp. 1-4.

Fette, B. A., 2006. Cognitive Radio Technology. s.l.:Communications Engineering Series.

Garcia, A., Mendez, A. & Gonzalez, J., 2007. Fuzzy System for {DOA} Estimation in Mobile Communications using a {FPGA}. s.l., s.n.,pp. 14-14.

Gross, F., 2015. Smart antennas with matlab: principles and applications in wireless communication. s.l.: McGraw-Hill Professional.

Guerin, D., Jackson, S. & Kelly, J., 2012. A Phase Interferometry Direction Finding System for an Airborne Platform, s.l.: s.n.

Harter, N. M., 2007. Development of a single-channel direction finding algorithm.

Hou, S.-Y., Chang, S.-H., Hung, H.-S. & Chen, J.-Y., 2009. {DSP}-Based Implementation of a Real-Time {DOA} Estimator for Underwater Acoustic Sources. Journal of Marine Science and Technology, 17(4), pp. 320-325.

Hua, M.-C.y otros, 2011. Direction-of-arrival estimator using array switching on software defined radio platform. s.l., s.n., pp. 2821-2824.

Hua, M.-C., Hsu, C.-H. & Liu, H.-C., 2012. Implementation of direction-of-arrival estimator on software defined radio platform. s.l., s.n., pp. 1-4.

Inserra, D. & Tonello, A. M., 2014. A multiple antenna wireless testbed for the validation of {DoA} estimation algorithms. AEU - International Journal of Electronics and Communications, #jan#, 68(1), pp. 10-18.

ÍPek, A. V., 2006. Implementation of a Direction Finding Algorithm on an {FPGA} Platform, s.l.: s.n.

ITU, 2011. Recomendación ITU-T K.83 Monitoring field strengths of electromagnetic fields, Ginebra: s.n.

ITU, s.f. Spectrum Management System for Developing Conuntries. En: s.l.:s.n.

Jamali, M. y otros, 2007. {DSP} Based Implementation of Direction of Arrival for Wideband Sources. s.l., s.n., pp. 475-480.

Juncai, S., Wenzhuo, G. & Shu, Z., 2008. An improved method of {DOA} estimation based on {QR} decomposition and its {DSP} implementation. s.l., s.n., pp. 189-195.

Keaveny, J. J., 2005. Analysis and Implementation of a Novel Single Channel Direction Finding Algorithm on a Software Radio Platform.

Kim, M. & Arai, H., 2004. Real-time smart antenna system incorporating {FPGA}-based fast {DOA} estimator. s.l., s.n., pp. 160-164, Vol. 1.

Kim, M. & Ichige, K., 2004. Implementation of {FPGA} Based Fast Unitary {MUSIC DOA} Estimator. IEICE TRANSACTIONS on Electronics, E87-C(9),pp. 1485-1494.

Kim, M., Ichige, K. & Arai, H., 2003. Implementation of {FPGA} based fast {DOA} estimator using unitary {MUSIC} algorithm [cellular wireless base station applications]. s.l., s.n., (1), pp. 213-217.

LaMeres, B. y otros, 2011. Design and test of {FPGA}- based direction-of-arrival algorithms for adaptive array antennas. s.l., s.n., pp. 1-8.

Li, Q. y otros, 2013. A hardware design for time delay estimation of {TDOA}. s.l., s.n., pp. 1-3.

Lounici, M., Luan, X. & Saadi, W., 2013. Implementation of {QR}-decomposition based on {CORDIC} for unitary {MUSIC}. Fifth International Conference on Digital image Processing, Volumen 8878.

Lounici, M. W. & Luan, X. M., 2013. Implementation of Unitary {MUSIC} Algorithm Using {X}ilinx {S}ystem {G}enerator. Advanced Materials Research, Aug, Volumen 748, pp. 629-633.

Majid, M. W., Schmuland, T. E. & Jamali*, M. M., 2013. Parallel implementation of the wideband {DOA} algorithm on single core, multicore, {GPU} and {IBM} cell {BE} processor. Science Journal of Circuits, Systems and Signal Processing, Volumen 2, pp. 29-36.

MEDAV, 2015. KCS 8000 MEDAV. s.l.:s.n.

Miao, S. W. & Ying, Z. J., 2009. Research and {FPGA} Implementation of {MUSIC DOA} of Smart Antenna Array. s.l., s.n., pp. 189-192.

Navarro, A., s.f. Presentación del proyecto: Desarrollo de Capacidades Tecnológicas en Comprobación Técnica del Espectro. s.l.:s.n.

Peng, H., Yang, Z. & Yang, T., 2012. Design and implementation of a practical direction finding receiver. Progress In Electromagnetics Research Letters, Volumen 32, pp. 157-167.

Roxin, A.-M., Gaber, J., Wack, M. & Moh, A. N. S., 2007. Survey of wireless geolocation techniques. s.l., s.n., 9 pages.

Series, S., 2011. Comparison of Time-Difference-of- Arrival and Angle-of-Arrival Methods of Signal Geolocation.

Stieber, M. C. E., 2012. Radio Direction Finding Network Receiver Design for Low-Cost Public Service Applications, s.l.: s.n.

Tayem, N., Omer, M. & Abul Hussain, A., 2014. Hardware Implementation of MUSIC and ESPRIT on NI-PXI Platform. s.l., s.n., pp. 329-332.

Tayem, N. y otros, 2013. Hardware Implementation of a Proposed {QR-TLS} {DoA} Estimation Method and {MUSIC}, {ESPRIT} Algorithms On {NIPXI} Platform. Progress In Electromagnetics Research C, Volumen 45, pp. 203-221.

Thanh, H. T., Ha, T. N. & Van Yem, V., 2013. Novel direction finding algorithm based on phase locked loop with low computational complexity. s.l., s.n., pp. 437-442.

Treiber, M., juhn, T. K. & Utschick, W., s.f. {DSP}- Implementation of a High-Resolution Parameter Estimating Scheme.

UIT, 2011. Manual de Comprobación Técnica del Espectro, Ginebra: Union Internacional de Telecomunicaciones, Oficina de Radiocomunicaciones: s.n.

Utschick, W., Treiber, M., Kurpjuhn, T. & Nossek, J., 2000. Comparison of two {DOA} tracking implementations for {SDMA}. s.l., s.n., (1), pp. 358-362.

Van Trees, H. L., 2004. Detection, estimation, and modulation theory, optimum array processing. s.l.:John Wiley & Sons.

Vandana, M., Rani, S. & Badrinath, 2012. Radar Emitter Location Simulation and Implementation on {FPGA}. International Journal of Engineering and Innovative Technology (IJEIT), Oct. Volumen 2.

Wang, H. & Glesner, M., 2006. Hardware implementation of smart antenna systems. Advances in Radio Science, Volumen 4, pp. 185-188.

Wenke, L., liang, J. & Chenxin, M., 2005. {DOA} estimation of {CDMA} signals and the realization utilizing {TMS320}. s.l., s.n., pp. 561-564.

XILINX, s.f. Field Programmable Gate Array {@ONLINE}. s.l.:s.n.

Yao, B. y otros, 2008. Real-Time Implementation of Multiple Sub-array Beam-Space {MUSIC} Based on {FPGA} and {DSP} Array. s.l., s.n., pp. 186-191.

Yaqoob, A., Farooq, U., Abbas, G. & Asad, M. U., 2011., Efficient Hardware Implementation Of ESPIRIT like Algorithm for Range Estimation Of Chirp Spread Spectrum. International Journal Of Computer and Electrical Engineering, 3(0).

Zekavat, R. & Buehrer, R. M., 2011. Handbook of position location: Theory, practice and advances. s.l.:John Wiley & Sons.

Zekavat, S. y otros, 2007. A novel implementation of doa estimation for node localization on software defined radios: Achieving high performance with low complexity. s.l., s.n., pp. 983-986.

Zhou, L. y otros, 2012. Design and implementation of equilateral triangle array digital direction finding system. Electronics Express, 9(13), pp. 1102-1108.

Zou, Z., Hongyuan, W. & Guowen, Y., 2006. An Improved {MUSIC} Algorithm Implemented with High-speed Parallel Optimization for {FPGA}. s.l., s.n., pp. 1-4.

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